Azure Text Analytics

from azure.core.credentials import AzureKeyCredential
from azure.ai.textanalytics import TextAnalyticsClient

endpoint = "YOUR_TEXT_ANALYTICS_ENDPOINT"
key = "YOUR_TEXT_ANALYTICS_API_KEY"

text_analytics_client = TextAnalyticsClient(endpoint=endpoint, credential=AzureKeyCredential(key))

documents = [
    "I love the new features in Azure Text Analytics!",
    "The service was down for maintenance.",
    "This is a neutral statement."
]

try:
    response = text_analytics_client.analyze_sentiment(documents)
    for idx, doc in enumerate(response):
        if not doc.is_error:
            print(f"Document {idx+1}:")
            print(f"  Sentiment: {doc.sentiment}")
            print(f"  Positive score: {doc.confidence_scores.positive:.2f}")
            print(f"  Neutral score: {doc.confidence_scores.neutral:.2f}")
            print(f"  Negative score: {doc.confidence_scores.negative:.2f}")
        else:
            print(f"Document {idx+1} had an error: {doc.kind}")
except Exception as err:
    print(f"Encountered an exception: {err}")
                

from azure.core.credentials import AzureKeyCredential
from azure.ai.textanalytics import TextAnalyticsClient

endpoint = "YOUR_TEXT_ANALYTICS_ENDPOINT"
key = "YOUR_TEXT_ANALYTICS_API_KEY"

text_analytics_client = TextAnalyticsClient(endpoint=endpoint, credential=AzureKeyCredential(key))

documents = [
    "Microsoft Corporation is headquartered in Redmond, Washington.",
    "The Eiffel Tower is a landmark in Paris, France."
]

try:
    response = text_analytics_client.recognize_entities(documents)
    for idx, doc in enumerate(response):
        if not doc.is_error:
            print(f"Document {idx+1}:")
            for entity in doc.entities:
                print(f"  - Entity: {entity.text}, Type: {entity.category}, Confidence: {entity.confidence_score:.2f}")
        else:
            print(f"Document {idx+1} had an error: {doc.kind}")
except Exception as err:
    print(f"Encountered an exception: {err}")
                

const { TextAnalyticsClient, AzureKeyCredential } = require("@azure/ai-text-analytics");

const endpoint = "YOUR_TEXT_ANALYTICS_ENDPOINT";
const key = "YOUR_TEXT_ANALYTICS_API_KEY";

const client = new TextAnalyticsClient(endpoint, new AzureKeyCredential(key));

async function analyzeSentiment(documents) {
    const results = await client.analyzeSentiment(documents);
    results.forEach(doc => {
        if (!doc.error) {
            console.log(`Document ID: ${doc.id}`);
            console.log(`  Sentiment: ${doc.sentiment}`);
            console.log(`  Confidence Scores: Positive=${doc.confidenceScores.positive.toFixed(2)}, Neutral=${doc.confidenceScores.neutral.toFixed(2)}, Negative=${doc.confidenceScores.negative.toFixed(2)}`);
        } else {
            console.log(`Document ${doc.id} had an error: ${doc.error.message}`);
        }
    });
}

const docs = [
    { id: "1", language: "en", text: "I love the new features in Azure Text Analytics!" },
    { id: "2", language: "en", text: "The service was down for maintenance." },
    { id: "3", language: "en", text: "This is a neutral statement." }
];

analyzeSentiment(docs).catch(err => console.error(`Error: ${err}`));
                

const { TextAnalyticsClient, AzureKeyCredential } = require("@azure/ai-text-analytics");

const endpoint = "YOUR_TEXT_ANALYTICS_ENDPOINT";
const key = "YOUR_TEXT_ANALYTICS_API_KEY";

const client = new TextAnalyticsClient(endpoint, new AzureKeyCredential(key));

async function recognizeEntities(documents) {
    const results = await client.recognizeEntities(documents);
    results.forEach(doc => {
        if (!doc.error) {
            console.log(`Document ID: ${doc.id}`);
            doc.entities.forEach(entity => {
                console.log(`  - Entity: ${entity.text}, Category: ${entity.category}, Confidence: ${entity.confidenceScore.toFixed(2)}`);
            });
        } else {
            console.log(`Document ${doc.id} had an error: ${doc.error.message}`);
        }
    });
}

const docs = [
    { id: "1", language: "en", text: "Microsoft Corporation is headquartered in Redmond, Washington." },
    { id: "2", language: "en", text: "The Eiffel Tower is a landmark in Paris, France." }
];

recognizeEntities(docs).catch(err => console.error(`Error: ${err}`));